TensorFlow Tutorial 15 - Customizing Model.Fit

In many scenarios you need to create more custom training than what model.fit supports and what's great is that we can actually modify how a training step is done inside model.fit and increase the flexibility of training models. In this video I show how this can be done and add more flexibility, then in the next video I will show you how to build custom training loops completely from scratch for scenarios where even more flexibility is needed.

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